New Delhi, 23rd February 2018: Locus announced as winner in “Data Science” category for their innovation “Locus – Logistics Automation Platform” at Aegis Graham Bell Award 2017, honoring the best innovation in the ICT domain in India. Locus has been applauded as winner at the 8th edition of Aegis Graham Bell Award at NDMC Convention Center, New Delhi.
Aegis Graham Bell has been promoting innovations and entrepreneurship in Telecom, Data Science, Smart City Solution, Cyber Security, Digital India, Cloud and Mobility. AGBA has been rewarding those who made outstanding contribution in these fields since 7 years with a vision to foster and stimulate innovators, for India to become a nucleus of innovations.
“We are delighted and humbled to receive coveted recognition from an esteemed platform such as Aegis Graham Bell. At Locus, we leverage cutting-edge Machine Learning algorithms to solve the most complicated piece of puzzles that exist within the supply chain, leading to a remarkable transformation in the way traditional logistics function in India. Our algorithms allowed us to create a platform, so significantly ahead of the market, that in a short span were able to pick up several vertical leaders in the country including FMCG, E-commerce, Food-tech and many more. Looking into the future, Locus aims to automate all human decisions, required to transport a package or a person from any point A to any point B on earth. Via automation, we wish to manage greater than 1% of World Transport Movement over the next decade” Ms Nruthya Kesavan, AVP Sales & Marketing, Locus
Locus is the intelligence behind your logistics that helps to provide Consistency, Efficiency & Transparency.
Primarily we automate Travelling Salesman and Knapsack problems together as a form of vehicle routing problem, along with Bin Packing where we do container loading. Towards this we use, stochastic and meta-heuristic algorithms, which needs to be fine-tuned for hundreds of different configurations depending on city & client.
What sets us apart is our intelligent routing engine which, purely based on client feedback, is the ONLY optimization engine to work at scale in India, Locus’ robust technology platform works seamlessly on-ground considering our algorithms incorporate 100s of exceptional scenarios.
Our suite offers:
• Route planning engine for creating highly optimized routes respecting all business rules along with unified control tower to monitor your on-ground resources real-time.
• 3D Packing engine for efficient packing configurations for loading cargo into containers which ensure vehicle optimisation
• Sales Beat Optimization which helps in generating intelligent beat plans in sales
• Automatic parcel sorting for faster processing of shipments in warehouses/distribution centers
• Hardware – SizeUp which is a handheld dimensional weight measuring device for cuboidal shipments.
The engine improves by comparing, planning and executing every day, resulting in a strong competitive moat of real-world iterations & proprietary data.
Locus aims to automate all human decisions, required to transport a package or a person from any point A to any point B on earth. Via automation, we wish to manage greater than 1% of World Transport Movement over the next decade.
The Aegis Graham Bell Award is one of the largest innovation award for the ICT domain in India. The Aegis School of Business, Data Science, Cyber Security and Telecommunication has established the Aegis Graham Bell Award as a tribute to the father of the telephony, Alexander Graham Bell. This Award is intended to promote innovation, entrepreneurship in the field of Telecom, Social, Mobility, Analytics, Cloud, and Security to provide recognition for outstanding contributions by the innovators. The Award is organized with support of the Cellular Operators Association of India (COAI), and Telecom Centres of Excellence (TCOE), Convergence India and Deloitte as a knowledge partner.
For more information, please contact:
Shweta Chavan | Corporate Communication | Aegis Graham Bell Awards | 8433969263 | [email protected]